Asset managers of all stripes are ramping up their data science capabilities. Andrew Chin and Celia Chen (AllianceBernstein) offer an overview of data science applications within the asset management industry, covering case studies spanning different functions within an asset management organization. Along the way, they look at an investment research project that used a new “big dataset” as well as a machine algorithm to create a more powerful prediction model and detail a machine learning model they developed to understand their clients better.
This session was recorded at the 2019 O'Reilly Artificial Intelligence Conference in New York.
- Title: Leveraging data science in asset management
- Release date: October 2019
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 0636920339496
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